制作方:   约翰霍普金斯大学

  • John McGready, PhD, MS

    教学方:    John McGready, PhD, MS, Associate Scientist, Biostatistics

    Bloomberg School of Public Health
承诺学习时间8 weeks of study, 2-3 hours/week
语言
English
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4.5 stars
Average User Rating 4.5查看学生的留言
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制作方
约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
评分和审阅
已评分 4.5,总共 5 个 17 评分

Great course to improve your skills related to statistical data analysis focused on health domain

Good practice exercices and with detailed solutions

Good course for understanding the basical mechanics behind regression analysis, mainly logistic, linear and Cox proportional hazards.

It will not, though, discuss how to do it in statistical packages.

This course provides a strong foundation for understanding regression analysis. It covers both simple and multiple regression that can be applied to either linear, logistic, or Cox regression models. Prof. McGready guides you from estimation to interpretation of regression coefficients through different kinds of literature examples. In addition, you learn how to choose the best model, how to assess confounding, and how to investigate effect modification. Awesome course!